Insight7 automatically analyzes customer calls to surface revenue signals, score call quality, and reveal what customers actually want. With automated QA, AI coaching via on-demand roleplays, and real-time live assist during calls, leaders can identify trends, conversion signals and develop team skills, all secured by HIPAA, SOC 2 Type II, and GDPR compliance - turning every conversation into actionable intelligence that grows revenue and people.
Products used by Insight7
Explore the tech stack and tools that power Insight7. See what products Insight7 uses for development, design, marketing, analytics, and more.
LLMs 2
LLMs 2
WeaviateThe AI-native database for a new generation of software
5.0 (11 reviews)
Weaviate gives us fast, semantic search across unstructured call data, crucial for surfacing insights in real time. Its native vector support and scalability made it the best fit for building an AI native platform like Insight7.
OpenAIAPIs and tools for building AI products
5.0 (739 reviews)
We selected OpenAI to power our LLM APIs because of its performance, stability, and continual improvements in conversational and contextual understanding. OpenAI models provide the nuanced comprehension we need to evaluate calls accurately, identifying patterns, surfacing product gaps, and scoring qualitative interactions reliably. Its developer friendly APIs also allowed us to move quickly from prototype to production without compromising on capability.
General 1
General 1
MongoDBMongoDB Atlas Database | Multi-Cloud Database Service | MongoDB
5.0 (45 reviews)
We chose MongoDB for data storage because of its flexibility in handling unstructured and semi-structured data at scale. MongoDB’s document based model allows us to store complex metadata and insights without rigid schema constraints, making it ideal for fast iteration and evaluation at scale.